Over-Booking Approach for Dynamic Spectrum Management
Over-Booking Approach for Dynamic Spectrum Management
An over-booking based dynamic spectrum management (DSM) scheme is conceived for improving the attainable spectral efficiency. All secondary users (SU) will be categorized into different classes and they borrow spectral resources from the primary users (PU) before data transmission. Under the risk-based policy model, the effects of both booking cancellations and ’no-show’ reservations are analyzed. Assuming that the booking demands obey an inhomogeneous Poisson process, we derive the optimal number of excess reservations, while minimizing the total compensation costs. Algorithms are developed for determining the capacity allocation dedicated to each SU class, whilst denying those resource allocations, which would lead to congested bookings.
978-1-4244-9267-1
1-5
Li, Jing
b6777db6-fce8-48ed-979c-e59a5e023976
Yang, Qinghai
46fa2e62-819f-4d76-9032-2e03827b70ec
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Kwak, K.S.
3c72af29-76f7-41bf-9995-66ce115aec5b
December 2011
Li, Jing
b6777db6-fce8-48ed-979c-e59a5e023976
Yang, Qinghai
46fa2e62-819f-4d76-9032-2e03827b70ec
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Kwak, K.S.
3c72af29-76f7-41bf-9995-66ce115aec5b
Li, Jing, Yang, Qinghai, Hanzo, Lajos and Kwak, K.S.
(2011)
Over-Booking Approach for Dynamic Spectrum Management.
2011 IEEE Global Telecommunications Conference (GLOBECOM 2011), Houston, United States.
05 - 09 Dec 2011.
.
(doi:10.1109/GLOCOM.2011.6134410).
Record type:
Conference or Workshop Item
(Paper)
Abstract
An over-booking based dynamic spectrum management (DSM) scheme is conceived for improving the attainable spectral efficiency. All secondary users (SU) will be categorized into different classes and they borrow spectral resources from the primary users (PU) before data transmission. Under the risk-based policy model, the effects of both booking cancellations and ’no-show’ reservations are analyzed. Assuming that the booking demands obey an inhomogeneous Poisson process, we derive the optimal number of excess reservations, while minimizing the total compensation costs. Algorithms are developed for determining the capacity allocation dedicated to each SU class, whilst denying those resource allocations, which would lead to congested bookings.
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Published date: December 2011
Venue - Dates:
2011 IEEE Global Telecommunications Conference (GLOBECOM 2011), Houston, United States, 2011-12-05 - 2011-12-09
Organisations:
Electronics & Computer Science
Identifiers
Local EPrints ID: 273057
URI: http://eprints.soton.ac.uk/id/eprint/273057
ISBN: 978-1-4244-9267-1
PURE UUID: 6eb46329-1961-483d-98d3-b7a3c0009abd
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Date deposited: 12 Dec 2011 12:20
Last modified: 18 Mar 2024 02:35
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Contributors
Author:
Jing Li
Author:
Qinghai Yang
Author:
Lajos Hanzo
Author:
K.S. Kwak
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